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Weak Convergence of Measures

Weak Convergence of Measures
Applications in Probability

$40.99 (C)

Part of CBMS-NSF Regional Conference Series in Applied Mathematics

  • Date Published: January 1987
  • availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
  • format: Paperback
  • isbn: 9780898711769

$ 40.99 (C)
Paperback

This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
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  • A treatment of the convergence of probability measures from the foundations to applications in limit theory for dependent random variables. Mapping theorems are proved via Skorokhod's representation theorem; Prokhorov's theorem is proved by construction of a content. The limit theorems at the conclusion are proved under a new set of conditions that apply fairly broadly, but at the same time make possible relatively simple proofs.

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    Product details

    • Date Published: January 1987
    • format: Paperback
    • isbn: 9780898711769
    • length: 37 pages
    • dimensions: 255 x 178 x 100 mm
    • weight: 0.3kg
    • availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
  • Table of Contents

    Weak convergence
    Random elements and convergence in distribution
    Prokhorov's theorem
    The Space C
    A maximal Inequality
    Tightness
    Limit theorems.

  • Author

    Patrick Billingsley

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